Susanne Ditlevsen

Orcid: 0000-0002-1998-2783

According to our database1, Susanne Ditlevsen authored at least 18 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
High-Dimensional Cointegration and Kuramoto Inspired Systems.
SIAM J. Appl. Dyn. Syst., March, 2024

2023
Network inference in a stochastic multi-population neural mass model via approximate Bayesian computation.
CoRR, 2023

2022
Correction: Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence.
PLoS Comput. Biol., 2022

2021
Detection of foraging behavior from accelerometer data using U-Net type convolutional networks.
Ecol. Informatics, 2021

2020
Transient dynamics of Pearson diffusions facilitates estimation of rate parameters.
Commun. Nonlinear Sci. Numer. Simul., 2020

2019
Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence.
PLoS Comput. Biol., 2019

2017
Optimal Design for Estimation in Diffusion Processes from First Hitting Times.
SIAM/ASA J. Uncertain. Quantification, 2017

Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents.
Frontiers Comput. Neurosci., 2017

2016
The Space-Clamped Hodgkin-Huxley System with Random Synaptic Input: Inhibition of Spiking by Weak Noise and Analysis with Moment Equations.
Neural Comput., 2016

Neurons in Primate Visual Cortex Alternate between Responses to Multiple Stimuli in Their Receptive Field.
Frontiers Comput. Neurosci., 2016

2015
A review of the methods for neuronal response latency estimation.
Biosyst., 2015

2014
Estimating latency from inhibitory input.
Biol. Cybern., 2014

2013
Parametric inference of neuronal response latency in presence of a background signal.
Biosyst., 2013

2011
Firing Variability Is Higher than Deduced from the Empirical Coefficient of Variation.
Neural Comput., 2011

Motoneuron membrane potentials follow a time inhomogeneous jump diffusion process.
J. Comput. Neurosci., 2011

Practical estimation of high dimensional stochastic differential mixed-effects models.
Comput. Stat. Data Anal., 2011

2008
Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating Signal.
Neural Comput., 2008

A review of the methods for signal estimation in stochastic diffusion leaky integrate-and-fire neuronal models.
Biol. Cybern., 2008


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